Micro-Star International Co., Ltd. MS-7B18
Geekbench AI Score
3931
Single Precision Score
3793
Half Precision Score
6155
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 08:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B18 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z390 TOMAHAWK (MS-7B18) |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2703
502.6 IPS |
|
|
Image Classification (HP)
|
100% |
2799
520.5 IPS |
|
|
Image Classification (Q)
|
100% |
4126
767.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4095
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
6377
7.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
12694
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (Q)
|
87% |
4394
352.4 IPS |
|
|
Face Detection (SP)
|
100% |
4436
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4403
52.3 IPS |
|
|
Face Detection (Q)
|
97% |
11835
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
7744
59.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
12761
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18126
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17881
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35878
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2902
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7081
262.3 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (Q)
|
91% |
1027
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (Q)
|
90% |
2104
36.5 IPS |
